Find my data

EXTERNAL DATA. BUILT AROUND YOUR BUSINESS.

The data you need.
In a form you can use.

We collect product prices and availability, connect company and supplier information, and structure expert knowledge for AI. You receive a dataset built around your question, with sources and a clear delivery format.

Tell us what you needSee the actual data

Your markets. Your languages. Your sources.

Example output

One product. Three retailers.

Trail 24 backpack 24 L

Product prices & availability
RetailerListed priceAvailability
Retailer AUSD 89.00In stock
Retailer BUSD 94.50In stock
Retailer CUSD 84.00Out of stock

Comparable product, price, stock and delivery fields in one dataset.

Clearly defined fieldsCSV / JSON
Source referencesClearly defined fieldsCSV / JSON delivery

WHAT HABITABLE DELIVERS

Less explaining. More actual data.

Three examples of what we can collect and how it becomes useful. Each table shows the fields and records in a delivery.

01
Example output

Product prices & availability

CSV / JSON
The business question

“Where is the same product cheaper, and who can actually deliver it?”

What we collect

Product and variant, retailer, market, listed price, stock status, delivery estimate and source page.

What it helps you do

Compare matched products, spot stock gaps and feed pricing or assortment decisions. Keep each currency and market separate.

Scroll horizontally to see all fields

Product prices & availability — Example output
Product / variantRetailerMarketListed priceAvailabilityDeliverySource
Trail 24 backpack / 24 L / blackRetailer AUnited StatesUSD 89.00In stock2–3 daysProduct page
Trail 24 backpack / 24 L / blackRetailer BUnited StatesUSD 94.50In stock1–2 daysProduct page
Trail 24 backpack / 24 L / blackRetailer CUnited StatesUSD 84.00Out of stockNot availableProduct page
Trail 24 backpack / 24 L / blackRetailer DUnited KingdomGBP 79.00In stock3–5 daysProduct page

The same model, capacity and colour are matched across retailers. A lower price does not hide an unavailable product.

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02
Example output

Company & supplier intelligence

CSV / JSON
The business question

“Which manufacturers can make the part we need, and what can we verify about them?”

What we collect

Company identity, operating country, manufacturing capability, materials, minimum order and the source supporting each attribute.

What it helps you do

Build a supplier shortlist, enrich an existing company list and give procurement a practical starting point for qualification.

Scroll horizontally to see all fields

Company & supplier intelligence — Example output
CompanyCountryCapabilityMaterialsMinimum orderEvidence
Manufacturer AGermany5-axis CNC millingAluminium; stainless steel50 unitsCapabilities page
Manufacturer BVietnamInjection mouldingABS; polycarbonate1,000 unitsProduct catalogue
Manufacturer CMexicoSheet metal fabricationSteel; aluminium100 unitsCompany website
Manufacturer DUnited StatesPrecision turningTitanium; stainless steelNot statedCapabilities page

“Not stated” remains visible when a source does not provide an answer. Each field can retain its own source reference.

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03
Example output

Expert knowledge for AI

CSV / JSON
The business question

“How should an AI assistant resolve this situation, step by step?”

What we collect

The task, relevant facts, expert checks, the recommended action and the resolution criteria — prepared from appropriately licensed source material.

What it helps you do

Give AI teams structured examples for retrieval, evaluation and training around a specific business task.

Scroll horizontally to see all fields

Expert knowledge for AI — Example output
SituationRelevant factsExpert procedureResolution
Invoice price differs from the orderOrder: 120 units × USD 18.00. Invoice: 120 × USD 19.50. No approved price change.Compare the order and invoice; check amendments; flag the USD 180.00 difference; request a corrected invoice.Corrected invoice matches the approved order, or an authorized amendment explains the difference.
Customer needs a new delivery addressOrder is paid. The warehouse has not released the shipment.Verify the customer; check dispatch status; update the address before release; confirm the change.The shipment uses the confirmed address and the customer receives a confirmation.
Two supplier records may be duplicatesNames differ, but the company registration number and website domain match.Compare legal identifiers and addresses; check branch relationships; merge only after confirming the same entity.One supplier identity retains both original record IDs and a documented merge decision.

The useful data is the reasoning and sequence of actions, not just a document title or a generic answer.

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Example records showing the structure of a delivery. Sources, markets and scope are agreed for each project.

CONTEXT THAT COMES WITH THE DATA

Understand every field. Trust every decision.

A useful delivery makes the source, meaning and limits of its records clear.

01

Where it came from

A source reference and collection date let you trace a price, company attribute or workflow back to its origin.

02

What it means

Currency, tax treatment, units, availability and matching rules are defined so you compare like with like.

03

What is missing

Unknown values, uncertain matches and conflicting sources stay visible. They are not silently filled in.

04

How you can use it

The delivery format, refresh schedule and permitted uses are agreed around your business or AI application.

FOR DATA OWNERS

Your everyday work holds valuable knowledge.

Support histories, product archives and specialist documentation can be useful to businesses and AI teams. We help assess demand and arrange a licence with a defined purpose.

Support and operations

Resolved cases with the situation, checks performed, actions taken and final outcome.

Product and market history

Catalogues, specifications, availability snapshots and historical pricing.

Specialist knowledge

Expert procedures, technical documentation and domain-specific reference material.

Discuss a data partnership

You define what can be shared and for which uses. Start with a description of the data.

START WITH THE QUESTION

Your next dataset starts with a clear brief.

Tell us what you need to compare, find or teach an AI system. We turn that into fields, suitable sources and a focused first delivery.

01

Define the fields

Which records and attributes would make the answer useful?

02

Check the sources

Which markets, languages and sources fit the question?

03

Review a first delivery

Agree the sample, quality rules and delivery format.

Tell us what you need